Frontoparietal Connectivity and Hierarchical Structure of the Brain’s Functional Network during Sleep

Frontiers in Neurology

卷:3

Pablo eGleiser¹  Victor I Spoormaker²  Michael eCzisch² 

[1] Centro Atómico Bariloche, Instituto Balseiro, CONICET;

[2] Max Planck Institute of Psychiatry;

关键词: Sleep;    EEG;    fMRI;    functional connectivity;    frontoparietal;    hierarchy;   

DOI  :  10.3389/fneur.2012.00080

来源: DOAJ

【 摘 要 】

Frontal and parietal regions are associated with some of the most complex cognitive functions, and several frontoparietal resting-state networks can be observed in wakefulness. We used functional magnetic resonance imaging (fMRI) data acquired in polysomnographically validated wakefulness, light sleep and slow-wave sleep to examine the hierarchical structure of a low-frequency functional brain network, and to examine whether frontoparietal connectivity would disintegrate in sleep. Whole-brain analyses with hierarchical cluster analysis on predefined atlases were performed, as well as regression of inferior parietal lobules seeds against all voxels in the brain, and an evaluation of the integrity of voxel time-courses in subcortical regions-of-interest. We observed that frontoparietal functional connectivity disintegrated in sleep stage 1 and was absent in deeper sleep stages. Slow-wave sleep was characterized by strong hierarchical clustering of local submodules. Frontoparietal connectivity between inferior parietal lobules and superior medial and right frontal gyrus was lower in sleep stages than in wakefulness. Moreover, thalamus voxels showed maintained integrity in sleep stage 1, making intrathalamic desynchronization an unlikely source of reduced thalamocortical connectivity in this sleep stage. Our data suggest a transition from a globally integrated functional brain network in wakefulness to a disintegrated network consisting of local submodules in slow-wave sleep, in which frontoparietal inter-modular nodes may play a crucial role, possibly in combination with the thalamus.

【 授权许可】

Unknown